Because of their prominent roles in plant development, transcription factors (TF) play central roles as drivers of innovation in the evolution of the green lineage (viridiplantae). The advent of massive sequencing combined with comparative genetics/genomics allows a rigorous investigation of how TF families have contributed to plant diversification from charophyte algae to bryophytes to angiosperms. Here, we review recent progress on TF family reconstruction and the identification of distantly related TFs present throughout the evolutionary timeline from algae to angiosperms. These data provide examples of contrasting evolutionary trajectories of TF families and illustrate how conserved TFs adopt diverse roles over the course of evolution.
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http://dx.doi.org/10.1016/j.pbi.2020.03.002 | DOI Listing |
G3 (Bethesda)
January 2025
School of Life Sciences, Center for Evolution & Medicine, Arizona State University, Tempe, AZ 85281, USA.
The demographic history of a population, and the distribution of fitness effects (DFE) of newly arising mutations in functional genomic regions, are fundamental factors dictating both genetic variation and evolutionary trajectories. Although both demographic and DFE inference has been performed extensively in humans, these approaches have generally either been limited to simple demographic models involving a single population, or, where a complex population history has been inferred, without accounting for the potentially confounding effects of selection at linked sites. Taking advantage of the coding-sparse nature of the genome, we propose a 2-step approach in which coalescent simulations are first used to infer a complex multi-population demographic model, utilizing large non-functional regions that are likely free from the effects of background selection.
View Article and Find Full Text PDFNat Plants
January 2025
State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Pepper (Capsicum spp.) is a widely consumed vegetable with exceptionally large genomes in Solanaceae, yet its genomic evolutionary history remains largely unknown. Here we present 11 high-quality Capsicum genome assemblies, including two gap-free genomes, covering four wild and all five domesticated pepper species.
View Article and Find Full Text PDFMicrob Pathog
January 2025
High School of Technology Laayoune, Ibn Zohr University, Morocco.
Plant-microbe partnerships constitute a complex and intricately woven network of connections that have evolved over countless centuries, involving both cooperation and antagonism. In various contexts, plants and microorganisms engage in mutually beneficial partnerships that enhance crop health and maintain balance in ecosystems. However, these associations also render plants susceptible to a range of pathogens.
View Article and Find Full Text PDFUnlabelled: Immune escape is a critical hallmark of cancer progression and underlies resistance to multiple immunotherapies. However, it remains unclear when the genetic events associated with immune escape occur during cancer development. Here, we integrate functional genomics studies of immunomodulatory genes with a tumor evolution reconstruction approach to infer the evolution of immune escape across 38 cancer types from the Pan-Cancer Analysis of Whole Genomes dataset.
View Article and Find Full Text PDFEvolution
January 2025
Department of Geosciences, Pennsylvania State University, State College, PA, USA.
Seed size is a trait which determines survival rates for individual plants and can vary as a result of numerous trade-offs. In the palm family (Arecaceae) today, there is great variation in seed sizes. Past studies attempting to establish drivers for palm seed evolution have sometimes yielded contradictory findings in part because modern seed size variations are complicated by long-term legacies, including biogeographic differences across lineages.
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